Senior Technical Program Manager, ML Software

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

Senior Technical Program Manager to lead software initiatives and develop Gen AI models for NVIDIA's AI researchers and engineers. The role involves guiding engineering programs using industry best practices, managing cross-company partners, planning, forecasting, scheduling, and reporting on program status. Requires strong program management expertise, experience with AI training environments, and knowledge of agile methodologies.

What you'd actually do

  1. Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
  2. Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
  3. Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
  4. Report on overall program status, providing insights and recommendations to senior management and drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
  5. Work with multi-functional matrixed teams, guide teams designing for advanced, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions

Skills

Required

  • demonstrated program management expertise
  • mastery of technical and management practices
  • managing global projects
  • engaging and moderating successful engagements with engineering partners and vendors
  • Exceptional communication and presentation skills
  • strong problem-solving and conflict management skills
  • In-depth understanding of software engineering principles and quality requirements in enterprise systems
  • experience in AI training environments and resource capacity planning
  • Strong multitasking abilities
  • knowledge of agile methodologies and tools
  • project planning
  • task tracking tools
  • Excellent organizational skills
  • ability to use project management tools (e.g. Jira, Aha!, Confluence)
  • distributed version control systems (e.g. Git)

Nice to have

  • Background in computer science, machine learning, deep learning, open source software, and GPU technology
  • Prior experience in production application software development, release and support methodology and DevOps
  • Prior experience in the management of customer workflows using large scale distributed computing
  • working with AI researchers
  • directly training and evaluating AI models

What the JD emphasized

  • AI training environments
  • training and evaluating AI models

Other signals

  • leading software initiatives
  • develop Gen AI models
  • AI researchers and engineers
  • engineering programs
  • program management